{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7ffec9d2",
   "metadata": {},
   "source": [
    "# Task01 文件处理与邮件自动化\n",
    "\n",
    "- 文件路径识别、处理、文件夹的操作理论学习\n",
    "\n",
    "- 文件自动化处理实践\n",
    "\n",
    "- 邮件自动发送理论学习，使用python发送邮件附带excel附件\n",
    "\n",
    "我们知道，程序运行时，可以用变量来保存运算结果，但如果希望程序运行关闭后，依然可以查看运行后的结果，就需要将数据保存到文件中。简单点，你可以将文件内容理解为一个字符串值，大小可能有几个GB。本节将学习，如何使用python在硬盘上创建、读取和保存文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aab4c8ab",
   "metadata": {},
   "source": [
    "## 1.1 文件处理"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f76d53ca",
   "metadata": {},
   "source": [
    "### 1.1.1 文件与文件路径\n",
    "\n",
    "文件的两个属性：“路径”和“文件名”，路径指明文件在计算机上的位置，文件名是指该位置的文件的名称。比如，我的电脑上，有个名字为Datawhale - 开源发展理论研究.pdf的文件，它的路径在D:\\Datawhale。在windows中，路径中的D:\\部分是“根文件夹”，Datawhale是文件夹名。注：Windows中文件夹名和文件名不区分大小写的。\n",
    "\n",
    "在windows上，路径书写是使用倒斜杠'\\'作为文件夹之间的分隔符，而在OS X和Linux上，是使用正斜杠'/'作为它们的路径分隔符。通常我们用os.path.join()函数来创建文件名称字符串。"
   ]
  },
  {
   "attachments": {
    "image-2.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "9d562eb7",
   "metadata": {},
   "source": [
    "os常用的操作函数如下图\n",
    "\n",
    "![image-2.png](attachment:image-2.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c538932f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:14:46.504380Z",
     "start_time": "2022-05-09T11:14:46.488425Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Datawhale\\\\docu'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.path.join('Datawhale','docu')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b28feaf0",
   "metadata": {},
   "source": [
    "我们可以看到返回的是（'Datawhale\\\\\\docu'），有两个斜杠，这是因为有一个斜杠是用来转义的，在OS X或Linux上调用这个函数，这个字符串就会是'Datawhale/docu'。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0695123",
   "metadata": {},
   "source": [
    "### 1.1.2 当前工作目录\n",
    "\n",
    "每个运行在计算机上的程序，都有一个“当前工作目录”。利用os.getcwd()函数，可以取得当前工作路径的\n",
    "\n",
    "字符串，并可以利用os.chdir()改变它。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0493d886",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:14:48.745240Z",
     "start_time": "2022-05-09T11:14:48.740254Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'F:\\\\JupyterNotebook\\\\Now\\\\DataWhale'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import os\n",
    "os.getcwd()          #获取当前工作目录，即执行该代码的文件的所在路径"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "eefabce8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:14:49.462387Z",
     "start_time": "2022-05-09T11:14:49.340442Z"
    }
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[WinError 3] 系统找不到指定的路径。: 'D:\\\\Datawhale\\\\python办公自动化'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-10-ab1adc5910f3>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'D:\\\\Datawhale\\\\python办公自动化'\u001b[0m\u001b[1;33m)\u001b[0m          \u001b[1;31m#改变当前工作目录\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgetcwd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 3] 系统找不到指定的路径。: 'D:\\\\Datawhale\\\\python办公自动化'"
     ]
    }
   ],
   "source": [
    "os.chdir('D:\\\\Datawhale\\\\python办公自动化')          #改变当前工作目录\n",
    "os.getcwd() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdcf786d",
   "metadata": {},
   "source": [
    "如果没有创建好文件目录，就进行路径改变是不能直接转移的，os.chdir是不能直接新建文件夹创造路径的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2559f4f9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:14:51.720474Z",
     "start_time": "2022-05-09T11:14:51.713493Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'F:\\\\JupyterNotebook'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.chdir('F:\\\\JupyterNotebook\\\\')          #改变当前工作目录\n",
    "os.getcwd() "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6a51955",
   "metadata": {},
   "source": [
    "### 1.1.3  路径操作"
   ]
  },
  {
   "attachments": {
    "1.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "1aabef74",
   "metadata": {},
   "source": [
    "#### 1.1.3.1 绝对路径和相对路径\n",
    "\n",
    "![1.png](attachment:1.png)\n",
    "\n",
    "\n",
    "“绝对路径”，总是从根文件夹开始。\n",
    "\n",
    "“相对路径”，相对于程序的当前工作目录。\n",
    "\n",
    "相对路径中，单个句点“.”表示当前目录的缩写，两个句点“..”表示父文件夹。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40f1ba02",
   "metadata": {},
   "source": [
    "几个常用的绝对路径和相对路径处理函数\n",
    "\n",
    "- os.path.abspath(path)：将相对路径转换为绝对路径，将返回参数的绝对路径的字符串。\n",
    "\n",
    "- os.path.isabs(path)：判断是否是绝对路径，是返回True,不是则返回False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a0835f51",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:14:54.403773Z",
     "start_time": "2022-05-09T11:14:54.391807Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "当前代码文件路径为： F:\\JupyterNotebook\\Now\\DataWhale\n",
      "转换相对父文件夹为绝对路径： F:\\JupyterNotebook\\Now\n",
      "判断用..代表父路径下是否为绝对路径： False\n",
      "判断用绝对父路径下是否为绝对路径： True\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "注意：这里我们是要先手动回到我们代码文件的真正工作目录下\n",
    "因为我们上一句代码 改变了 当前工作目录\n",
    "\"\"\"\n",
    "os.chdir('F:\\\\JupyterNotebook\\\\Now\\\\DataWhale')   \n",
    "\n",
    "# 我们当前代码文件所在路径为\n",
    "# F:\\\\JupyterNotebook\\\\Now\\\\DataWhale\n",
    "print('当前代码文件路径为：',os.getcwd())\n",
    "print('转换相对父文件夹为绝对路径：',os.path.abspath('../')) \n",
    "print('判断用..代表父路径下是否为绝对路径：',os.path.isabs('../'))\n",
    "print('判断用绝对父路径下是否为绝对路径：',os.path.isabs(os.path.abspath('../')))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "36f92f8f",
   "metadata": {},
   "source": [
    "#### 1.1.3.2 路径操作\n",
    "\n",
    "- os.path.relpath(path,start):返回从start路径到path的相对路径的字符串。如果没提供start,就使用当前工作目录作为开始路径。\n",
    "\n",
    "- os.path.dirname(path): 返回当前路径的目录名称。\n",
    "\n",
    "- os.path.basename(path)：返回当前路径的文件名称。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c797e463",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:17:32.341111Z",
     "start_time": "2022-05-09T11:17:32.335135Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Datawhale\\\\python办公自动化'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.relpath('D:\\\\Datawhale\\\\python办公自动化','D:\\\\')       "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e380df9c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:17:57.678680Z",
     "start_time": "2022-05-09T11:17:57.669710Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\Datawhale\\\\python办公自动化'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path = 'D:\\\\Datawhale\\\\python办公自动化\\\\python课程画图.pptx'  \n",
    "os.path.dirname(path)     #'D:\\\\Datawhale\\\\python办公自动化'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "239a1938",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:19:06.728886Z",
     "start_time": "2022-05-09T11:19:06.720907Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'python课程画图.pptx'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.basename(path)   #'python课程画图.pptx'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "def6b60e",
   "metadata": {},
   "source": [
    "如果同时需要一个路径的目录名称和基本名称，可以调用os.path.split()，获得者两个字符串的元组。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "67dab454",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:19:19.441869Z",
     "start_time": "2022-05-09T11:19:19.433879Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('D:\\\\Datawhale\\\\python办公自动化', 'python课程画图.pptx')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "caFilePath = 'D:\\\\Datawhale\\\\python办公自动化\\\\python课程画图.pptx'\n",
    "os.path.split(caFilePath)   #('D:\\\\Datawhale\\\\python办公自动化', 'python课程画图.pptx')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25ba5bdd",
   "metadata": {},
   "source": [
    "我们也可以调用os.path.dirname()和os.path.basename(),将它们的返回值放在一个元组中，从而得到同样的元组。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a6cbd525",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:19:37.873285Z",
     "start_time": "2022-05-09T11:19:37.867301Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('D:\\\\Datawhale\\\\python办公自动化', 'python课程画图.pptx')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(os.path.dirname(caFilePath),os.path.basename(caFilePath))  #('D:\\\\Datawhale\\\\python办公自动化', 'python课程画图.pptx')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0656ba51",
   "metadata": {},
   "source": [
    "如果我们想返回每个文件夹的字符串的列表。用os.path.split()无法得到，我们可以用split()字符串方法，并根据os.path.sep 中的字符串进行分割。os.path.sep 变量设置为正确的文件夹分割斜杠。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e6b93825",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:19:54.061648Z",
     "start_time": "2022-05-09T11:19:54.045689Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['D:', 'Datawhale', 'python办公自动化', 'python课程画图.pptx']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "caFilePath.split(os.path.sep)   #['D:', 'Datawhale', 'python办公自动化', 'python课程画图.pptx']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4c6a363",
   "metadata": {},
   "source": [
    "#### 1.1.3.3 路径有效性检查\n",
    "\n",
    "如果提供的路径不存在，很多Python函数就会崩溃并报错。os.path模块提供了一些函数，用于检测给定的路径是否存在，以及判定是文件还是文件夹。\n",
    "\n",
    "- os.path.exists(path)：如果path参数所指的文件或文件夹存在，则返回True,否则返回False。\n",
    "\n",
    "- os.path.isfile(path)：如果path参数存在，并且是一个文件，则返回True,否则返回False。\n",
    "\n",
    "- os.path.isdir(path)：如果path参数存在，并且是一个文件夹，则返回True,否则返回False。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "22c43691",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:20:42.354978Z",
     "start_time": "2022-05-09T11:20:42.343992Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.exists('C:\\\\Windows')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8d620e16",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:21:31.040330Z",
     "start_time": "2022-05-09T11:21:31.020384Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.exists('C:\\\\else')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2071735d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:21:33.333846Z",
     "start_time": "2022-05-09T11:21:33.324872Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.isfile('D:\\\\Datawhale\\\\python办公自动化\\\\python课程画图.pptx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d89f28b7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:21:58.723751Z",
     "start_time": "2022-05-09T11:21:58.712779Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.path.isdir('D:\\\\Datawhale\\\\python办公自动化\\\\python课程画图.pptx')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b486443",
   "metadata": {},
   "source": [
    "### 1.1.4  文件及文件夹操作"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "222add76",
   "metadata": {},
   "source": [
    "#### 1.1.4.1 用os.makedirs()创建新文件夹\n",
    "\n",
    "注：os.makedirs()可以创建所有必要的中间文件夹。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "fc33b9c4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:23:58.654943Z",
     "start_time": "2022-05-09T11:23:58.313373Z"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "os.makedirs('D:\\\\Datawhale\\\\practice')  #查看目录，已创建，若文件夹已存在，不会覆盖，会报错"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a526d82b",
   "metadata": {},
   "source": [
    "#### 1.1.4.2 查看文件大小和文件夹内容"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c189ba59",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:24:22.596820Z",
     "start_time": "2022-05-09T11:24:22.578783Z"
    }
   },
   "source": [
    "我们已经可以处理文件路径，这是操作文件及文件夹的基础。接下来，我们可以搜集特定文件和文件夹的信息。os.path模块提供了一些函数，用于查看文件的字节数以及给定文件夹中的文件和子文件夹。\n",
    "\n",
    "- os.path.getsize(path)：返回path参数中文件的字节数。\n",
    "\n",
    "- os.listdir(path):返回文件名字符串的列表，包含path参数中的每个文件。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e4ba4518",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:28:28.960961Z",
     "start_time": "2022-05-09T11:28:28.949985Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1959125"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "注意这里你可以自己按照这个路径新建文件夹，并任意放入一个pptx文件，\n",
    "并重命名为python课程画图.pptx。否则若不存在该文件将会报错，而非0字节\n",
    "\"\"\"\n",
    "os.path.getsize('D:\\\\Datawhale\\\\python办公自动化\\\\python课程画图.pptx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a0b18a94",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:28:29.131317Z",
     "start_time": "2022-05-09T11:28:29.121354Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['python课程画图.pptx', 'test.txt']"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir('D:\\\\Datawhale\\\\python办公自动化')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7210991d",
   "metadata": {},
   "source": [
    "如果想知道目录下所有文件的总字节数，可以同时使用 *os.path.getsize()* 和 *os.listdir()*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "74885040",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:28:30.313172Z",
     "start_time": "2022-05-09T11:28:30.304172Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1959603\n"
     ]
    }
   ],
   "source": [
    "totalSize = 0\n",
    "for filename in os.listdir('D:\\\\Datawhale\\\\python办公自动化'):\n",
    "    totalSize = totalSize + os.path.getsize(os.path.join('D:\\\\Datawhale\\\\python办公自动化',filename))\n",
    "print(totalSize)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "198e3625",
   "metadata": {},
   "source": [
    "### 1.1.5 文件读写过程\n",
    "\n",
    "要实现文件读写，首先要获取文件对象，获取文件对象后，就可以使用文件对象的读写方法来读写文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a8d5ef4",
   "metadata": {},
   "source": [
    "读写文件3个步骤：\n",
    "\n",
    "1.调用*open()*函数，返回一个File对象。\n",
    "\n",
    "2.调用File对象的 *read()* 或 *write()* 方法。\n",
    "\n",
    "3.调用File对象的 *close()* 方法，关闭该文件。\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "63ccadaa",
   "metadata": {},
   "source": [
    "open函数中 常见的对象方法及其作用说明：\n",
    "\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a56dcdd",
   "metadata": {},
   "source": [
    "#### 1.1.5.1 用open()函数打开文件"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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ZPkJx7+Po62kB578iSXjxeFwjFtypWqjDTAqWvuMWOEa2uJYiL21Xuus+WLuPtMjzIEb6eZ6FOkzjIfZlBVpHg1I59jVrg8qtYK0NnerkyVfRJ2tU6zDn0b0bes2t1v20taAEiTXP1bJeRnerTJ23mHbCXuE+Hgaa2Gk+f4T2l/ELiFr+9AtxbmlqnsG9GgVOADjal+OPndfsTyHQdI9ssi+QeyN8+irc0gp1W0y7ZuOa7dZLHPma6bfdbJPkyy1YDWC/sg80vphork9bbuLki+oH9N3pjlNfaSHzfjnuvnq1LVu0JXAfbhOsorsXRQX60T5kaXyxjNhfoj1qtivQXiF1zXNV5Z644flXHVGDmgwcU9eOx2ooGIZ+JBEsdxmPVeAosp8dEH3oRyg2nk7evBd5cc5Y8+xUZewfiVqS1ShmqnlGfv+FOj5TRdPd/rKNo4iuspFFlj9w8/DGAaafv9PYr44na8yhPs7M53/YEoJ0+uDpVufl9h4sx8DDfXnmQYN0RIfvtAGG2F18dTx3h3O4piXviyaSjORm+2jZT17i4ajZbqJ+P7iNUae8V/tWNNgrLvdNKz9WceTr9hnvc3S5yy0LjaKOysQvkjqoShXoxQa+CEWQhR+HGWueor903BqbreY5/fsX/Xgv8Lx9BPVxdKN5fc6DV9AU3w1Gr0CqVvF8H4Eas/3q2LdM9vM/bFnHITF4ji50+SU+G9UOy2j5Bw1m+olWsmwdvm5fUGSH8wzbboXvrCo+S1nFHi1rPoXXdWhrykQXxSf4InK0PbbcUU3+UZN5MeWeJioIRPf3Re9vtQOg3IKhHoluH1vUHL0gEF3uAuqmA6txHBoscAewJvrQF3scCnUzNAg0+2dmrXlOPe/Lj6Ee6dCPQrM5Rm7+PPCMKgkVPVCT7FS9YNkGvgj1Teo6jkOtVSs09L6ogc9lHYfYeZ7enL5ZfkWC0Ly3afNDp//CaHKybKKoX0PMyf9Lo6hfxYznhIYn0aecaxYzv3GV5Q7PyYz7Dv3zdgNzYxN2fvzZ6ZOjM+z4Qo5D5rmaUb8UmmF+sDDHcbiB8z8o6Zd2U5b0n0OBn39G/3psHc6DNGKD56r5J4cnnYSOkxCobxGWO7ncPA4s/zoch7UNnrEPioiw7AcC3CyWe1bf9+PwfS+/Z9nHQXIcx8nQ2ici+l7jw5CJiDLYePPmzar3gYjo1tkYDoer3gcioluHfZ5ERBmwz5OIKAMGTyKiDBg8iYgyYPAkIsogGDzd526WmjfwVM2odd/k9tZVhjJ7D2J4Z/JdE70DWPO8tTpubqHwI9uIaBkYPImIMmDwJCLKgMHztlN23pmcMES3yZTgaaNZ8j/Bu4TYMY6JBG9TPptaZ5QvPMt64wdZvPVGrMtuohSZ2GyGffHWUWrC9h/DUjP5Cdnesgs9jkR0E2KCp4VmSUbd9L9noi5PDk50qlFZIE3U5eyjw3azFJOTWaw3TdbG8mORnMqf71qs/DVO3HWdhtKl2IdtmEAgR8w8+3JYDR/DeHazBEmuI/hxE3W5hGcn6dZBRMsTGTzNegV1aONsj5YGBQCg41loqpGIm6G8ym5WPf1ZitpWmN3EEzfiKFooB4yXrU+vJAfm8mOR03mU79pd/WEbJhQoSjiw2jhsmwB8OWLm2RezjrruOy7dWnxCqtjtWNAUE2ZkAJaxoyQcAyK6MTE1TxWG/2Iv1HCgiSvVHFXXbDSf6eKzTih/e7kFQwVgtnE4Y/TsPBe1L0Wz0K2Fwk25NQ7M4RrlBJG+FjjB69E+uAFS/RSf7iIUWC2cimrnqCzz7YsCLSavfVj8dgqodQ3MluCViJYhOnj6AoinsL0bescNNtBD2Q3FS9RIJ5vG09l4fQIACvYexdTTvBrlyevEWq1ouptoexHcPkTbFM1y8Tcdo7jXeQEd/ib7nPui7CFusaCk7Xg3ASJaJ5HBU9lZ1fitF5B3sZ0UeMxTJMZleQcKALN9KIKbdQoTCnZkjALfiVst7bzQAe9vN7EvsWbYDhGtjQVMVQr1d4ZeCamvQ2box0szRafwCHsKRsGt80L31QjFtkRgdWt/gdrigveFiN4pcwRPL7j4+xTnVYDoHQgNTPm5zWvsbscPwPjW92hPgWiedyBi5yN3OfdvZhuHHdGcH//tJvYljnccfV0IwY3gxeRQP0R/aMJAFBHdmDmCpxeYxHSacHzpVLM98MObYmTW5cnlO1V3WpQC7Wm6Km3h0R4UACfPnkEP9SuKv5k4fSGa8+E+x0XvS8weuscR0Cvh6V0dVCOnSRHRqs3VbC/UDiAG4d05jxMDRhmUW7C8kf26HByIcleqaAcID37H76RoupumiYl+xcI2dgHouh49wLPofYnbxdFxFAF0vJ0KdKhQowaMRhPq+WAQolWYs89TNB29AOOnGs7k9J60a6114ThRU3RE/+ps6/Wa34iYReAbyY5pei92X+L3sdZ1YIQ3omiwnBYeL2ALRLRYTABHRJQBHwxCRJQBgycRUQYMnkREGTB4EhFlwOBJRJQBgycRUQYMnkREGTB4EhFlwOBJRJQBgycRUQbB4OlmwfQ/QUgkQMv2hCQionfV2tY8vaDtf2XNxklEtGiJwVM8VWhRTw9KQ+Q6lyNy9uqVdGmHiYhu2vrVPN0kbVCNmFS/zyYevExEtGzrFzyxjU8tB044+dHowcS+bJhERCuSGDwjB4wCA0uimT3um5zyZHN3ufFrMn0HCmWUmZSHiNbcnDVPC82SjGD3pI5KRADtVMepK8ZE+o603ZiWyNGLXeboJaIVmyt4mvUK6tBgef2SlgY3lVkwE2Sn6uY0CqUpdvsx9WdNJDbEvXUoGubKt0ZEtADz1TwVDZY/9W2hhgM3n5E+ip42ms90iMDZCuYQKrdE3h6zjWndmHaz5NZaVRhMtUtEa2C+4BmRNK0wyrbmsSBa2zoqoXmb4yybJk6tqA34pi25ydBY6SSidbAxz8LKjryo/ZhkN1GS6xCzlhyEB9+JiFZpruA5m4hme5xOVTTTw90CRERrYgnzPGXsKABwgtdppmfaTZQqupgkz8BJRGtqCcGzgEd7YnJ7XZ6c19mpBueQdp7XYUKBxiF1IlpjS/mFUaF2ADEIL+Z1Tg4YeWy8Pon+XPA1ZSI+EdESLOnnmQXUuo7788og1VjmQ0eIiBZDchzHWfVOEBHdNmv4YBAiovXH4ElElAGDJxFRBgyeREQZMHgSEWXA4ElElAGDJxFRBgyeREQZMHgSEWXA4ElElEEweAayYgqR2TOJiL7n1rbm2anySUpEtL4Sg2eh1oXjLPPJRyJv0USWYjcHUto0xUREN2lNa54KNMuXothx4GYpTpemmIjohq1h8Cyg1u0iXNEttwyoAGCeIjLRJhHREiUGz8gBo8DAkmhmp+qbdJcbvybTcsTvyGucAICygxvM2UlElMqcNU8LzZKMuul/T0clIoB2qpLIiBkg0m0k92N2UPXSEH/KpHBEtHpzBU+zXkEdGiyvb9LSIBJt6HjhD4idqjsApMLw9WM6bkfmZD9mB9VADbUC3V2W+duJaB3MV/MM51Uv1HDg5inSR9HTRvOZjsi87eWWGAgy2zhMbL7rqJQ4WERE62G+4Lm7PdGELmzvht6xcGoC3lSjcCZMUSM1cRoYBSqj5a+hOpbIvmnWITOAEtEamCt4KjvLGroR2TdFLbWO55zrSUQrtsSpSqH+ztArTV+mvCO6BE5es+5JRKu1hOApQ8S8E8wb8yzR/sfuNsfbiWi1lhA8C3i0p0BMS5qc19mpRjyIJGLuUqcqjUbsH3PEnYhWbCnN9kLtQAz4uPM6JweMQvRKzMCSAs0KjdgTEa3Akvo8xYCP5U5j8lON4ENHCrVu5OegGnCcyZ9tEhGtguQ4jrPqnSAium3W8MEgRETrj8GTiCgDBk8iogwYPImIMmDwJCLKgMGTiCgDBk8iogwYPImIMmDwJCLKgMGTiCiDYPAMZMUUIrNnEhF9z92Smuc4IVxypk0iopu3kfSBQq0Lp7aMXYlnN58h6sl1RESrsv41T7uJJ8HE8EREK7fmwdNG80kdJlSo6qr3hYhoLDF4Rg4YBQaWbDRL/qe+VxHbLekuN35NpuUIbvsJ6iagGi08nqlYREQ3a86ap4VmSUawVa2jEhFAO1UJ0kTODZGWI3IQyGuuq0aqzJpERMs0V/A06xXUocHyUghbGkQCDR0v/AGxUx0lbwukHzZEW1x/1kSwAjpurhuMnES0huareSoarG4No7RChRoO3PxD+ih62mg+0yECZyh5W7kFQwVgtnEY6BWQR811hk4iWkfzBc/dbYTzsRW2d0PvWBDp1nVUQhkxx1kxTZxa4tN2s4SKDiiaxeY6Ea2tuYKnsiMvaj+EThWy28/ZZZpMIlpjS5yqFOrvDL1aZa95jyl52wG94r7HnxoR0QotIXjK2FEA4ASv+fN4InpHLCF4FvBoT4GYljQ5r7NT9eaLFlDrxtdM3YF5qIb7HjtEiWiFltJsL9QOIAbhxbzOqOY4EdFtsqQ+T1GrtNxpTH6q4XBwiIhuHclxHGfVO0FEdNus+YNBiIjWE4MnEVEGDJ5ERBkweBIRZcDgSUSUAYMnEVEGDJ5ERBkweBIRZcDgSUSUAYMnEVEGweAZyIopRGbPJCL6nlvLmqcXsCNfpXCyOCKi5dtI+kCh1oVTW8auEBHdHonBcxWsUxOAAs3qgk+rI6J1tJbNdiKidZcYPCMHjAIDSzaaJX+/ZBWxqdnc5cavybQcY7vYZq2TiNbUnDVPC82SjLrpf09HJSKAdqoSpImcGyItRzARpo3XJ/PtFRHRTZsreJr1CurQYHmJ2iwNItGGjhf+gNipurmKQumH3axu+rOoEXQdFSlljZaIaMnmq3kqGqxuDaPWdaGGAzdPkT6Knl4+dhWG00Ig52W5JbJimm0cjqKnhdNATdYjginnmxLROpgveO5uI9wtWdjeDb3jBcNwTdKfPdPEqeV9vozWlNTDZv3JlH5SIqLlmCt4KjvyovYjUbnlBVAT7UNGTyJarSVOVQr1d4ZerXLyGuSdydTFRESrsITgKUPEvBO8nrPCaLmdobucw0REK7aE4FnAoz0FYlrS5LzOTjXdIFCnKo1G7B+nqKUSEd2kpTTbC7UDiEF4Ma9zcsDIx26iFDuwpECzQiP2REQrsKQ+zwJqXQeWNtlnqRoOuv4fsBceYS+qa1M14Dj8rTsRrQfJcRxn1TtBRHTb8MEgREQZMHgSEWXA4ElElAGDJxFRBgyeREQZMHgSEWXA4ElElAGDJxFRBgyeREQZ/AMdRuZ+r0bTfQAAAABJRU5ErkJggg=="
    }
   },
   "cell_type": "markdown",
   "id": "75de5931",
   "metadata": {},
   "source": [
    "要用*open()*函数打开一个文件，就要向它传递一个字符串路径，表明希望打开的文件。这既可以是绝对路径，也可以是相对路径。*open()*函数返回一个File对象。\n",
    "\n",
    "先用TextEdit创建一个文本文件，名为hello.txt。输入hello world!等字符作为该文本文件的内容，将它保存在你的用户文件夹中。\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96adc043",
   "metadata": {},
   "source": [
    "文件对象可以通过Python内置的open函数得到，完整的语法如下。\n",
    "\n",
    "open(file,mode=r',buffering=-1,encoding=None,errors=None,newline=None,closefd=True,opener=None)\n",
    "\n",
    "open函数有8个参数，常用前4个，除了file参数外，其他参数都有默认值。file指定了要打开的文件名称，应包含文件路径，不写路径则表示文件和当前py脚本在同一个文件夹。buffering用于指定打开文件所用的缓冲方式，默认值-1表示使用系统默认的缓冲机制。文件读写要与硬盘交互，设置缓冲区的目的是减少CPU操作磁盘的次数，延长硬盘使用寿命。encoding用于指定文件的编码方式，如GBK、UTF-8等，默认采用UTF-8，有时候打开一个文件全是乱码，这是因为编码参数和创建文件时采用的编码方式不一样。\n",
    "\n",
    "mode指定了文件的打开模式。打开文件的基本模式包括r、w、a，对应读、写、追加写入。附加模式包括b、t、+，表示二进制模式、文本模式、读写模式，附加模式需要和基本模式组合才能使用，如“rb”表示以二进制只读模式打开文件，“rb+”表示以二进制读写模式打开文件。\n",
    "\n",
    "要注意的是，凡是带w的模式，操作时都要非常谨慎，它首先会清空原文件，但不会有提示。凡是带r的文件必须先存在，否则会因找不到文件而报错。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "4bc56d50",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:31:33.681948Z",
     "start_time": "2022-05-09T11:31:33.668995Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<_io.TextIOWrapper name='D:\\\\Datawhale\\\\python办公自动化\\\\hello.txt' mode='r' encoding='cp936'>\n"
     ]
    }
   ],
   "source": [
    "helloFile = open('D:\\\\Datawhale\\\\python办公自动化\\\\hello.txt')\n",
    "print(helloFile)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b2a8674",
   "metadata": {},
   "source": [
    "可以看到，调用open()函数将会返回一个File对象。当你需要读取或写入该文件，就可以调用helloFile变量中的File对象的方法。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0db552f3",
   "metadata": {},
   "source": [
    "#### 1.1.5.2 读取文件内容"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39eed9d9",
   "metadata": {},
   "source": [
    "有了File对象，我们就可以开始从它读取内容。\n",
    "\n",
    "- read():读取文件内容。\n",
    "\n",
    "- readlines():按行读取文件中的内容，取得一个字符串列表，列表中每个字符串是文本中的一行且以\\n结束。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "c0e05079",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:31:35.704661Z",
     "start_time": "2022-05-09T11:31:35.686709Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'hello world! \\nline2\\nline3\\nline4\\nline5'"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "helloContent = helloFile.read()\n",
    "helloContent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "8d16c044",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:31:36.891615Z",
     "start_time": "2022-05-09T11:31:36.873637Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['hello world! \\n', 'line2\\n', 'line3\\n', 'line4\\n', 'line5']"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sonnetFile = open('D:\\\\Datawhale\\\\python办公自动化\\\\hello.txt')\n",
    "sonnetFile.readlines()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6308f0bc",
   "metadata": {},
   "source": [
    "#### 1.1.5.3 写入文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9052eea",
   "metadata": {},
   "source": [
    "需要用“写模式”‘w’和“添加模式”'a'打开一个文件，而不能用读模式打开文件。\n",
    "\n",
    "“写模式”将覆写原有的文件，从头开始。“添加模式”将在已有文件的末尾添加文本。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "f67a78fe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:32:50.044174Z",
     "start_time": "2022-05-09T11:32:50.026218Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baconFile = open('bacon.txt','w')\n",
    "baconFile.write('Hello world!\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "8a2e61d7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:32:58.843188Z",
     "start_time": "2022-05-09T11:32:58.827234Z"
    }
   },
   "outputs": [],
   "source": [
    "baconFile.close()  #注意，关闭后，才能完成写入，从txt文件中看到写入的内容。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "b13d4fda",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:33:04.093067Z",
     "start_time": "2022-05-09T11:33:04.079131Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "baconFile = open('bacon.txt','a')\n",
    "baconFile.write('Bacon is not a vegetable.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "a29e1cfa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:33:08.732144Z",
     "start_time": "2022-05-09T11:33:08.719192Z"
    }
   },
   "outputs": [],
   "source": [
    "baconFile.close() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "b3cb39b5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:33:12.204303Z",
     "start_time": "2022-05-09T11:33:12.195326Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello world!\n",
      "Bacon is not a vegetable.\n"
     ]
    }
   ],
   "source": [
    "baconFile = open('bacon.txt')\n",
    "content = baconFile.read()\n",
    "baconFile.close()\n",
    "print(content)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5262eed3",
   "metadata": {},
   "source": [
    "注意，*write()*方法不会像*print()*函数那样，在字符串的末尾自动添加换行字符。必须自己添加该字符。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b355e1a2",
   "metadata": {},
   "source": [
    "- 案例：统计字母出现的频率\n",
    "\n",
    "文件对象有iter、next方法，所以它是一个可迭代对象，可以用for循环遍历。我们可以遍历文件获得每一行字符，再遍历每一行，获得每个字符，将字符放入列表，然后统计每个字符出现的频率。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b82a96a8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-10T02:51:49.950690Z",
     "start_time": "2022-05-10T02:51:49.932733Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'H': 1,\n",
       "         'e': 4,\n",
       "         'l': 4,\n",
       "         'o': 4,\n",
       "         ' ': 5,\n",
       "         'w': 1,\n",
       "         'r': 1,\n",
       "         'd': 1,\n",
       "         'B': 1,\n",
       "         'a': 3,\n",
       "         'c': 1,\n",
       "         'n': 2,\n",
       "         'i': 1,\n",
       "         's': 1,\n",
       "         't': 2,\n",
       "         'v': 1,\n",
       "         'g': 1,\n",
       "         'b': 1})"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "my_list = []\n",
    "punctuation=',.!?\\，。！？、()【】<>《》=：+-*“”...\\n'\n",
    "with open('bacon.txt','r') as f:\n",
    "    for line in f:\n",
    "        for word in line:\n",
    "            if word not in punctuation:\n",
    "                my_list.append(word)\n",
    "\n",
    "counter = Counter(my_list)\n",
    "counter"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33d79f33",
   "metadata": {},
   "source": [
    "#### 1.1.5.4 保存变量"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1665788d",
   "metadata": {},
   "source": [
    "- 1)、shelve模块\n",
    "\n",
    "用*shelve*模块，可以将Python中的变量保存到二进制的*shelf*文件中。这样，程序就可以从硬盘中恢复变量的数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "b44df406",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:34:08.871987Z",
     "start_time": "2022-05-09T11:34:08.356221Z"
    }
   },
   "outputs": [],
   "source": [
    "import shelve\n",
    "shelfFile = shelve.open('mydata')\n",
    "cats = ['Zonphie','Pooka','Simon']\n",
    "shelfFile['cats'] = cats\n",
    "shelfFile.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cf3d753",
   "metadata": {},
   "source": [
    "在Windows上运行前面的代码，我们会看到当前工作目录下有3个新文件：mydata.bak、mydata.dat和mydata.dir。在OS X上，只会创建一个mydata.db文件。\n",
    "\n",
    "重新打开这些文件，取出数据。注意：shelf值不必用读模式或写模式打开，因为打开后，既能读又能写。\n"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "851f7452",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "37491e48",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:35:26.108647Z",
     "start_time": "2022-05-09T11:35:26.079590Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shelve.DbfilenameShelf"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shelfFile = shelve.open('mydata')\n",
    "type(shelfFile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "03dc2547",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:35:27.342469Z",
     "start_time": "2022-05-09T11:35:27.323364Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "shelve.DbfilenameShelf"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shelve.DbfilenameShelf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "c14fcc8f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:35:34.997131Z",
     "start_time": "2022-05-09T11:35:34.988156Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Zonphie', 'Pooka', 'Simon']"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shelfFile['cats']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "6e5fee33",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:35:38.504959Z",
     "start_time": "2022-05-09T11:35:38.500937Z"
    }
   },
   "outputs": [],
   "source": [
    "shelfFile.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66bb3fa1",
   "metadata": {},
   "source": [
    "就像字典一样，shelf值有*keys()*和*values()*方法，返回shelf中键和值的类似列表的值。但是这些方法返回类似列表的值，却不是真正的列表，所以应该将它们传递给*list()*函数，取得列表的形式。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "735d52e1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:36:07.036933Z",
     "start_time": "2022-05-09T11:36:07.029952Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['cats']"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shelfFile = shelve.open('mydata')\n",
    "list(shelfFile.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "01c539f0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:36:10.973751Z",
     "start_time": "2022-05-09T11:36:10.954802Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Zonphie', 'Pooka', 'Simon']]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(shelfFile.values())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "73ebcac4",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:36:14.839813Z",
     "start_time": "2022-05-09T11:36:14.836788Z"
    }
   },
   "outputs": [],
   "source": [
    "shelfFile.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5d6b88b",
   "metadata": {},
   "source": [
    "- 2)、用pprint.pformat()函数保存变量\n",
    "\n",
    "*pprint.pformat()*函数返回要打印的内容的文本字符串，这个字符串既易于阅读，也是语法上正确的Python代码。\n",
    "\n",
    "假如，有一个字典，保存在一个变量中，希望保存这个变量和它的内容，以便将来使用。*pprint.pformat()*函数将提供一个字符串，我们可以将它写入.py文件。这个文件可以成为我们自己的模块，如果需要使用存储其中的变量，就可以导入它。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "cf73a9eb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:40:33.127309Z",
     "start_time": "2022-05-09T11:40:33.109357Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"[{'desc': 'chubby', 'name': 'Zophie'}, {'desc': 'fluffy', 'name': 'Pooka'}]\""
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import  pprint\n",
    "cats = [{'name':'Zophie','desc':'chubby'},{'name':'Pooka','desc':'fluffy'}]\n",
    "pprint.pformat(cats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "14027d50",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:40:38.745579Z",
     "start_time": "2022-05-09T11:40:38.733611Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "83"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fileObj = open('myCats.py','w')\n",
    "fileObj.write('cats = '+pprint.pformat(cats)+'\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "8a15b581",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:40:42.735299Z",
     "start_time": "2022-05-09T11:40:42.721356Z"
    }
   },
   "outputs": [],
   "source": [
    "fileObj.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c4f4924",
   "metadata": {},
   "source": [
    "import语句导入的模块本身就是Python脚本。如果来自pprint.pformat()的字符串保存为一个.py文件，该文件就是一个可以导入的模块。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "3af6d80d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:40:51.486937Z",
     "start_time": "2022-05-09T11:40:51.369856Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'desc': 'chubby', 'name': 'Zophie'}, {'desc': 'fluffy', 'name': 'Pooka'}]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import myCats\n",
    "myCats.cats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "3635cc6f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:40:56.192712Z",
     "start_time": "2022-05-09T11:40:56.173761Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'desc': 'chubby', 'name': 'Zophie'}"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myCats.cats[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "27da4ff2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:41:00.610397Z",
     "start_time": "2022-05-09T11:41:00.596432Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Zophie'"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myCats.cats[0]['name']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69406ef0",
   "metadata": {},
   "source": [
    "### 1.1.6 练习"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "145f6b99",
   "metadata": {},
   "source": [
    "- 1、如果已有的文件以写模式打开，会发生什么？"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "296ced1f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T11:59:25.980422Z",
     "start_time": "2022-05-09T11:59:25.968485Z"
    }
   },
   "source": [
    "提示：\n",
    "\n",
    "\n",
    "以写模式打开\n",
    "\n",
    "r : 只读模式，文件不存在泽报错，默认模式(文件指针位于文件末尾)\n",
    "\n",
    "w : 写入模式，文件不存在则自动报错，每次打开会覆盖原文件内容,文件不关闭则可以进行多次写入（只会在打开文件时清空文件内容）\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5fb37f44",
   "metadata": {},
   "source": [
    "- 2、*read()*和*readlines()*方法之间的区别是什么？\n",
    "\n",
    "提示：\n",
    "\n",
    "    read():以原格式返回全部文本\n",
    "\n",
    "    readline():   只返回第一行文本\n",
    "    \n",
    "    readlines():  以列表的格式返回全部文本，文本的第几行对应列表的第几个元素"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c39c9ad9",
   "metadata": {},
   "source": [
    "综合练习：\n",
    "\n",
    "一、生成随机的测验试卷文件\n",
    "\n",
    "假如你是一位地理老师， 班上有 35 名学生， 你希望进行美国各州首府的一个\n",
    "\n",
    "小测验。不妙的是，班里有几个坏蛋， 你无法确信学生不会作弊。你希望随机调整\n",
    "\n",
    "问题的次序， 这样每份试卷都是独一无二的， 这让任何人都不能从其他人那里抄袭答案。当然，手工完成这件事又费时又无聊。 好在， 你懂一些 Python。\n",
    "\n",
    "下面是程序所做的事：\n",
    "\n",
    "• 创建 35 份不同的测验试卷。\n",
    "\n",
    "• 为每份试卷创建 50 个多重选择题，次序随机。\n",
    "\n",
    "• 为每个问题提供一个正确答案和 3 个随机的错误答案，次序随机。\n",
    "\n",
    "• 将测验试卷写到 35 个文本文件中。\n",
    "\n",
    "• 将答案写到 35 个文本文件中。\n",
    "\n",
    "这意味着代码需要做下面的事：\n",
    "\n",
    "• 将州和它们的首府保存在一个字典中。\n",
    "\n",
    "• 针对测验文本文件和答案文本文件，调用 open()、 write()和 close()。\n",
    "\n",
    "• 利用 random.shuffle()随机调整问题和多重选项的次序。\n",
    "\n",
    "\n",
    "提示：\n",
    "https://blog.csdn.net/liying_tt/article/details/117968373"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e31a1623",
   "metadata": {},
   "source": [
    "### 1.1.7  组织文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a842270",
   "metadata": {},
   "source": [
    "在上一节中，已经学习了如何使用Python创建并写入新文件。本节将介绍如何用程序组织硬盘上已经存在的文件。不知你是否经历过查找一个文件夹，里面有几十个、几百个、甚至上千个文件，需要手工进行复制、改名、移动或压缩。比如下列这样的任务：\n",
    "\n",
    "• 在一个文件夹及其所有子文件夹中，复制所有的 pdf 文件（且只复制 pdf 文件）\n",
    "\n",
    "• 针对一个文件夹中的所有文件，删除文件名中前导的零，该文件夹中有数百个文件，名为 spam001.txt、 spam002.txt、 spam003.txt 等。\n",
    "\n",
    "• 将几个文件夹的内容压缩到一个 ZIP 文件中（这可能是一个简单的备份系统）\n",
    "\n",
    "所有这种无聊的任务，正是在请求用 Python 实现自动化。通过对电脑编程来完成这些任务，你就把它变成了一个快速工作的文件职员，而且从不犯错。\n"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "85642ef0",
   "metadata": {},
   "source": [
    "##### 1.1.1.7.1 shutil模块\n",
    "\n",
    "*shutil*(或称为shell工具)模块中包含一些函数，可以在Python程序中复制、移动、改名和删除文件。要使用*shutil*的函数，首先需要*import shutil*\n",
    "\n",
    "\n",
    "![image.png](attachment:image.png)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf6681da",
   "metadata": {},
   "source": [
    "##### 1.1.1.7.2 复制文件和文件夹\n",
    "\n",
    "- shutil.copy(source, destination)：将路径source处的文件复制到路径 destination处的文件夹（source 和 destination 都是字符串），并返回新复制文件绝对路径字符串。\n",
    "\n",
    "其中destination可以是：\n",
    "\n",
    "1）、一个文件的名称，则将source文件复制为新名称的destination\n",
    "\n",
    "2）、一个文件夹，则将source文件复制到destination中\n",
    "\n",
    "3）、若这个文件夹不存在，则将source目标文件内的内容复制到destination中,若destination文件夹不存在，则自动生成该文件。(慎用，因为会将source文件复制为一个没有扩展名的名字为destination的文件，这往往不是我们希望的)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "dc62e20b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:07:54.812818Z",
     "start_time": "2022-05-09T12:07:54.806799Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\Datawhale\\\\practice\\\\bacon.txt'"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "这里如果路径下没有bacon.txt，可以从当前代码文件路径下找到bacon.txt，\n",
    "将其移至指定路径学习使用\n",
    "\"\"\"\n",
    "\n",
    "import shutil\n",
    "import os\n",
    "shutil.copy('D:\\\\Datawhale\\\\python办公自动化\\\\bacon.txt', 'D:\\\\Datawhale\\\\practice')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8942bd28",
   "metadata": {},
   "source": [
    "- shutil.copytree(source, destination):将路径source处的文件夹，包括其包含的文件夹和文件，复制到路径destination处的文件夹,并返回新复制文件夹绝对路径字符串。\n",
    "\n",
    "注：destination处的文件夹为新创建的文件夹，如已存在，则会报错\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "65dbce02",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:09:19.841756Z",
     "start_time": "2022-05-09T12:09:19.487761Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "FileExistsError",
     "evalue": "[WinError 183] 当文件已存在时，无法创建该文件。: 'D:\\\\Datawhale\\\\practice'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mFileExistsError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-85-467aae1edf8e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mshutil\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mshutil\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcopytree\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'D:\\\\Datawhale\\\\python办公自动化'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'D:\\\\Datawhale\\\\practice'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mE:\\Anaconda\\lib\\shutil.py\u001b[0m in \u001b[0;36mcopytree\u001b[1;34m(src, dst, symlinks, ignore, copy_function, ignore_dangling_symlinks, dirs_exist_ok)\u001b[0m\n\u001b[0;32m    555\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscandir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mitr\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    556\u001b[0m         \u001b[0mentries\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mitr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 557\u001b[1;33m     return _copytree(entries=entries, src=src, dst=dst, symlinks=symlinks,\n\u001b[0m\u001b[0;32m    558\u001b[0m                      \u001b[0mignore\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mignore\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcopy_function\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mcopy_function\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    559\u001b[0m                      \u001b[0mignore_dangling_symlinks\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mignore_dangling_symlinks\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\lib\\shutil.py\u001b[0m in \u001b[0;36m_copytree\u001b[1;34m(entries, src, dst, symlinks, ignore, copy_function, ignore_dangling_symlinks, dirs_exist_ok)\u001b[0m\n\u001b[0;32m    456\u001b[0m         \u001b[0mignored_names\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mset\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    457\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 458\u001b[1;33m     \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmakedirs\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdst\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdirs_exist_ok\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    459\u001b[0m     \u001b[0merrors\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    460\u001b[0m     \u001b[0muse_srcentry\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcopy_function\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mcopy2\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mcopy_function\u001b[0m \u001b[1;32mis\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\lib\\os.py\u001b[0m in \u001b[0;36mmakedirs\u001b[1;34m(name, mode, exist_ok)\u001b[0m\n\u001b[0;32m    221\u001b[0m             \u001b[1;32mreturn\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    222\u001b[0m     \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 223\u001b[1;33m         \u001b[0mmkdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    224\u001b[0m     \u001b[1;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    225\u001b[0m         \u001b[1;31m# Cannot rely on checking for EEXIST, since the operating system\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mFileExistsError\u001b[0m: [WinError 183] 当文件已存在时，无法创建该文件。: 'D:\\\\Datawhale\\\\practice'"
     ]
    }
   ],
   "source": [
    "import shutil\n",
    "shutil.copytree('D:\\\\Datawhale\\\\python办公自动化','D:\\\\Datawhale\\\\practice')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "976009b5",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:10:16.823111Z",
     "start_time": "2022-05-09T12:10:16.799173Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\Datawhale\\\\practice_unexist'"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import shutil\n",
    "shutil.copytree('D:\\\\Datawhale\\\\python办公自动化','D:\\\\Datawhale\\\\practice_unexist')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "79329200",
   "metadata": {},
   "source": [
    "#### 1.1.7.3 文件和文件夹的移动与改名"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1c6b476",
   "metadata": {},
   "source": [
    "- shutil.move(source, destination)：将路径 source 处的文件/文件夹移动到路径destination，并返回新位置的绝对路径的字符串。\n",
    "\n",
    "1)、如果source和destination是文件夹，且destination已存在，则会将source文件夹下所有内容复制到destination文件夹中。移动。\n",
    "\n",
    "2）、如果source是文件夹，destination不存在，则会将source文件夹下所有内容复制到destination文件夹中，source原文件夹名称将被替换为destination文件夹名。   移动+重命名\n",
    "\n",
    "3）、如果source和destination是文件，source处的文件将被移动到destination处的位置，并以destination处的文件名进行命名，移动+重命名。\n",
    "\n",
    "注意：如果destination中有原来已经存在同名文件，移动后，会被覆写，所以应当特别注意。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "619cc69f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:10:48.666921Z",
     "start_time": "2022-05-09T12:10:48.657935Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\Datawhale\\\\docu'"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import shutil\n",
    "shutil.move('D:\\\\Datawhale\\\\practice','D:\\\\Datawhale\\\\docu')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f9e5a98",
   "metadata": {},
   "source": [
    "#### 1.1.7.4 永久删除文件和文件夹\n",
    "\n",
    "- os.unlink(path): 删除path处的文件。\n",
    "\n",
    "- os.rmdir(path): 删除path处的文件夹。该文件夹必须为空，其中没有任何文件和文件夹。\n",
    "\n",
    "- shutil.rmtree(path):删除 path 处的文件夹，它包含的所有文件和文件夹都会被删除。\n",
    "\n",
    "注意：使用时，需要非常小心，避免删错文件，一般在第一次运行时，注释掉这些程序，并加上*print()*函数来帮助查看是否是想要删除的文件。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "af42e08e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:11:46.881700Z",
     "start_time": "2022-05-09T12:11:46.876712Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'D:\\\\Datawhale\\\\docu'"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#建议先指定操作的文件夹，并查看\n",
    "os.chdir('D:\\\\Datawhale\\\\docu')\n",
    "os.getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "40ecce40",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:13:04.305303Z",
     "start_time": "2022-05-09T12:13:04.300315Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bacon.txt\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "for filename in os.listdir():\n",
    "    print(filename)\n",
    "    os.unlink(filename)\n",
    "\n",
    "# 可以看到bacon.txt已经被删除\n",
    "\n",
    "for filename in os.listdir():\n",
    "    print(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77058136",
   "metadata": {},
   "source": [
    "#### 1.1.7.5 用send2trash模块安全地删除\n",
    "\n",
    "*shutil.rmtree(path)*会不可恢复的删除文件和文件夹，用起来会有危险。因此使用第三方的*send2trash*模块，可以将文件或文件夹发送到计算机的垃圾箱或回收站，而不是永久删除。因程序缺陷而用send2trash 删除的某些你不想删除的东西，稍后可以从垃圾箱恢复。\n",
    "\n",
    "注意：使用时，需要非常小心，避免删错文件，一般在第一次运行时，注释掉这些程序，并加上print()函数来帮助查看是否是想要删除的文件。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "7ad15ca7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:16:07.465667Z",
     "start_time": "2022-05-09T12:16:04.085838Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Ignoring invalid distribution -ip (e:\\anaconda\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution - (e:\\anaconda\\lib\\site-packages)\n",
      "ERROR: Invalid requirement: '#安装send2trash模块'\n",
      "WARNING: Ignoring invalid distribution -ip (e:\\anaconda\\lib\\site-packages)\n",
      "WARNING: Ignoring invalid distribution - (e:\\anaconda\\lib\\site-packages)\n"
     ]
    }
   ],
   "source": [
    "!pip install send2trash       #安装send2trash模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "2bdf8ffe",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:16:10.243254Z",
     "start_time": "2022-05-09T12:16:10.211341Z"
    }
   },
   "outputs": [],
   "source": [
    "import send2trash\n",
    "send2trash.send2trash('bacon.txt')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "657326e6",
   "metadata": {},
   "source": [
    "### 1.1.8 遍历目录树"
   ]
  },
  {
   "attachments": {
    "2.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "f4c3bdb2",
   "metadata": {},
   "source": [
    "os.walk(path):传入一个文件夹的路径，在for循环语句中使用os.walk()函数，遍历目录树，和range()函数遍历一个范围的数字类似。不同的是，os.walk()在循环的每次迭代中，返回三个值：\n",
    "\n",
    " 1）、当前文件夹称的字符串。\n",
    "\n",
    " 2）、当前文件夹中子文件夹的字符串的列表。\n",
    "\n",
    " 3）、当前文件夹中文件的字符串的列表。\n",
    "\n",
    " 注：当前文件夹，是指for循环当前迭代的文件夹。程序的当前工作目录，不会因为os.walk()而改变。\n",
    "\n",
    "![2.png](attachment:2.png)\n",
    "\n",
    "按照下图目录树，创建相应的文件。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "62893a4c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:20:31.643853Z",
     "start_time": "2022-05-09T12:20:31.622895Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The current folder is D:\\animals\n",
      "Subfolder of D:\\animals:cats\n",
      "Subfolder of D:\\animals:dogs\n",
      "File Inside D:\\animals:Miki.txt\n",
      "\n",
      "The current folder is D:\\animals\\cats\n",
      "File Inside D:\\animals\\cats:catNames.txt\n",
      "File Inside D:\\animals\\cats:zophie.jpg\n",
      "\n",
      "The current folder is D:\\animals\\dogs\n",
      "Subfolder of D:\\animals\\dogs:wolf\n",
      "\n",
      "The current folder is D:\\animals\\dogs\\wolf\n",
      "File Inside D:\\animals\\dogs\\wolf:Taidi.txt\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "for folderName, subFolders,fileNames in os.walk('D:\\\\animals'):\n",
    "    print('The current folder is ' + folderName)\n",
    "    for subFolder in subFolders:\n",
    "        print('Subfolder of '  + folderName+':'+subFolder)\n",
    "    for filename in fileNames:\n",
    "        print('File Inside '  + folderName+':'+filename)\n",
    "    print('')   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d75a823",
   "metadata": {},
   "source": [
    "### 1.1.9 用zipfile模块压缩文件\n",
    "\n",
    "为方便传输，常常将文件打包成.zip格式文件。利用zipfile模块中的函数，Python程序可以创建和打开（或解压）zip文件。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "837a47d3",
   "metadata": {},
   "source": [
    "#### 1.1.9.1 创建和添加到zip文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1da71afb",
   "metadata": {},
   "source": [
    "将上述章节中animals文件夹进行压缩。创建一个example.zip的zip文件，并向其中添加文件。\n",
    "\n",
    "*zipfile.ZipFile('filename.zip', 'w')* ：以写模式创建一个压缩文件\n",
    "\n",
    "*ZipFile* 对象的 *write('filename','compress_type=zipfile.ZIP_DEFLATED')*方法：如果向write()方法中传入一个路径，Python 就会压缩该路径所指的文件， 将它加到 ZIP 文件中。 如果向write()方法中传入一个字符串，代表要添加的文件名。第二个参数是“压缩类型”参数，告诉计算机用怎样的算法来压缩文件。可以总是将这个值设置为 *zipfile.ZIP_DEFLATED*（这指定了 deflate 压缩算法，它对各种类型的数据都很有效）。\n",
    "\n",
    "注意：写模式会擦除zip文件中所有原有的内容。如果只希望将文件添加到原有的zip文件中，就要向*zipfile.ZipFile()*传入'a'作为第二个参数，以添加模式打开 ZIP 文件。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "c571c765",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:22:43.383792Z",
     "start_time": "2022-05-09T12:22:43.375822Z"
    }
   },
   "outputs": [],
   "source": [
    "## 1 创建一个new.zip压缩文件，并向其中添加文件\n",
    "import zipfile\n",
    "newZip = zipfile.ZipFile('new.zip','w')\n",
    "newZip.write('D:\\\\animals\\\\Miki.txt',compress_type=zipfile.ZIP_DEFLATED)\n",
    "newZip.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "47828047",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:23:15.308940Z",
     "start_time": "2022-05-09T12:23:15.288995Z"
    }
   },
   "outputs": [],
   "source": [
    "newZip = zipfile.ZipFile('new.zip','w')\n",
    "newZip.write('D:\\\\animals\\\\dogs\\\\wolf\\\\Taidi.txt',compress_type=zipfile.ZIP_DEFLATED)\n",
    "newZip.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "f56193f7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:23:21.481098Z",
     "start_time": "2022-05-09T12:23:21.447197Z"
    }
   },
   "outputs": [],
   "source": [
    "## 2 创建一个example.zip的压缩文件，将animals文件夹下所有文件进行压缩。\n",
    "import zipfile\n",
    "import os\n",
    "newZip = zipfile.ZipFile('example.zip','w')\n",
    "for folderName, subFolders,fileNames in os.walk('D:\\\\animals'):\n",
    "    for filename in fileNames:\n",
    "        newZip.write(os.path.join(folderName,filename),compress_type=zipfile.ZIP_DEFLATED)\n",
    "newZip.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1a114bf",
   "metadata": {},
   "source": [
    "#### 1.1.9.2 读取zip文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de3162e7",
   "metadata": {},
   "source": [
    "调用*zipfile.ZipFile(filename)*函数创建一个*ZipFile*对象（注意大写字母Z和F）,filename是要读取zip文件的文件名。\n",
    "\n",
    "*ZipFile*对象中的两个常用方法：\n",
    "\n",
    "*namelis()*方法，返回zip文件中包含的所有文件和文件夹的字符串列表。\n",
    "\n",
    "*getinfo()*方法，返回一个关于特定文件的ZipInfo对象。\n",
    "\n",
    "*ZipInfo*对象的两个属性：*file_size*和*compress_size*，分别表示原来文件大小和压缩后文件大小。1.2.3.2 读取zip文件\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "1adb35e1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:24:00.950729Z",
     "start_time": "2022-05-09T12:24:00.933731Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['animals/Miki.txt',\n",
       " 'animals/cats/catNames.txt',\n",
       " 'animals/cats/zophie.jpg',\n",
       " 'animals/dogs/wolf/Taidi.txt']"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import zipfile,os\n",
    "exampleZip = zipfile.ZipFile('example.zip')\n",
    "exampleZip.namelist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "6dd80cd9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:24:08.703205Z",
     "start_time": "2022-05-09T12:24:08.699216Z"
    }
   },
   "outputs": [],
   "source": [
    "catInfo = exampleZip.getinfo('animals/Miki.txt')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "9c3f8938",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:24:13.795435Z",
     "start_time": "2022-05-09T12:24:13.779453Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catInfo.file_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "39a52765",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:24:19.363931Z",
     "start_time": "2022-05-09T12:24:19.359935Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catInfo.compress_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "13fe08ea",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:24:23.446814Z",
     "start_time": "2022-05-09T12:24:23.430856Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compressed file is 0.67 x smaller!\n"
     ]
    }
   ],
   "source": [
    "print('Compressed file is %s x smaller!' %(round(catInfo.file_size/catInfo.compress_size,2)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "7dd735d0",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:24:27.810181Z",
     "start_time": "2022-05-09T12:24:27.800208Z"
    }
   },
   "outputs": [],
   "source": [
    "exampleZip.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c4f3cae",
   "metadata": {},
   "source": [
    "#### 1.1.9.3 从zip文件中解压缩\n",
    "\n",
    "*ZipFile* 对象的 *extractall()*方法：从zip文件中解压缩所有文件和文件夹，放到当前工作目录中。也可以向*extractall()*传递的一个文件夹名称，它将文件解压缩到那个文件夹， 而不是当前工作目录。如果传递的文件夹名称不存在，就会被创建。\n",
    "\n",
    "*ZipFile* 对象的 *extract()*方法:从zip文件中解压单个文件。也可以向 *extract()*传递第二个参数， 将文件解压缩到指定的文件夹， 而不是当前工作目录。如果第二个参数指定的文件夹不存在， Python 就会创建它。*extract()*的返回值是被压缩后文件的绝对路径。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "63ef6135",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:25:04.221596Z",
     "start_time": "2022-05-09T12:25:04.201669Z"
    }
   },
   "outputs": [],
   "source": [
    "import zipfile, os\n",
    "exampleZip = zipfile.ZipFile('example.zip')\n",
    "exampleZip.extractall('.\\zip')\n",
    "exampleZip.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "9f7e90b2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:25:07.945292Z",
     "start_time": "2022-05-09T12:25:07.924350Z"
    }
   },
   "outputs": [],
   "source": [
    "exampleZip = zipfile.ZipFile('example.zip')\n",
    "exampleZip.extract('animals/Miki.txt')\n",
    "exampleZip.extract('animals/Miki.txt', 'D:\\\\animals\\\\folders')\n",
    "exampleZip.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9098d8d5",
   "metadata": {},
   "source": [
    "### 1.1.10 文件查找\n",
    "\n",
    "对于文件操作，最需要熟练掌握的就是查找文件。前面介绍了使用os.listdir、os.walk方法可以批量列出当前工作目录的全部文件，下面介绍常用于查找特定文件的模块。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b0998d4",
   "metadata": {},
   "source": [
    "#### 1.1.10.1 glob\n",
    "\n",
    "glob是Python自带的一个文件操作相关模块，用它可以查找符合条件的文件。例如，我们要找到当前目录下全部的.txt文档，可以用下面的代码。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9eb0978c",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-10T07:21:48.440745Z",
     "start_time": "2022-05-10T07:21:48.430771Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bacon.txt', 'test.txt']"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import glob\n",
    "glob.glob('*.txt')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70ffc926",
   "metadata": {},
   "source": [
    "这里主要是写匹配条件，“*”匹配任意个字符，“?”匹配单个字符，也可以用“[]”匹配指定范围内的字符，如[0-9]匹配数字。\n",
    "\n",
    "\n",
    "- glob.glob('*[0-9]*.*')可以匹配当前目录下文件名中带有数字的文件。\n",
    "\n",
    "- glob.glob(r'G:\\*')可以获取G盘下的所有文件和文件夹，但是它不会进一步列明文件夹下的文件。也就是说，其返回的文件名只包括当前目录里的文件名，不包括子文件夹里的文件"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb1dd53a",
   "metadata": {},
   "source": [
    "#### 1.1.10.2 fnmatch模块\n",
    "\n",
    "fnmatch也是Python自带的库，是专门用来进行文件名匹配的模块，使用它可以完成更为复杂的文件名匹配。它有4个函数，分别是fnmatch、fnmatchcase、filter和translate，其中最常用的是fnmatch函数，其语法如下。\n",
    "\n",
    "- fnmatch.fnmatch(filename,pattern)\n",
    "\n",
    "pattern表示匹配条件，测试文件名filename是否符合匹配条件。\n",
    "\n",
    "下面找出目标文件夹里所有结尾带数字的文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2840b49a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-10T06:20:34.692686Z",
     "start_time": "2022-05-10T06:20:34.677697Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.png\n",
      "2.png\n",
      "myCats.cpython-38.pyc\n"
     ]
    }
   ],
   "source": [
    "import os,fnmatch\n",
    "path = os.getcwd() # 获取当前代码文件所在目录\n",
    "for foldname, subfolders,filenames in os.walk(path):\n",
    "    for filename in filenames:\n",
    "        if fnmatch.fnmatch(filename,'*[0-9].*'):\n",
    "            print(filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18231db4",
   "metadata": {},
   "source": [
    "fnmatchcase和fnmatch函数类似，只是fnmatchcase函数强制区分字母大小写。\n",
    "\n",
    "以上两个函数都返回True或者False，filter函数则返回匹配的文件名列表，其语法如下:\n",
    "\n",
    "- fnmatch.filter(filelist,pattern)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "313b7d65",
   "metadata": {},
   "source": [
    "#### 1.1.10.3 hashlib模块\n",
    "\n",
    "随着计算机中文件越来越多，我们需要找出重复文件。重复文件可能有不同的文件名，不能简单用文件名和文件大小来判断。从科学角度，最简单的办法就是通过MD5来确定两个文件是不是一样的。\n",
    "\n",
    "Python自带的hashlib库里提供了获取文件MD5值的方法。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "62a1d4de",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-10T06:23:16.073631Z",
     "start_time": "2022-05-10T06:23:16.042714Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "eced185a808aa692d6d6712d0410581d\n"
     ]
    }
   ],
   "source": [
    "import hashlib\n",
    "m = hashlib.md5()\n",
    "f = open('bacon.txt','rb')\n",
    "m.update(f.read())\n",
    "f.close()\n",
    "md5_value = m.hexdigest()\n",
    "print(md5_value)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1c14093",
   "metadata": {},
   "source": [
    "电子文件容易被篡改或者伪造，在出现纠纷时，怎么提供有力的证据来证明文件的真实性？一个可行的办法就是制作文件后对整个文件生成MD5值。一旦MD5值生成之后，文件发生过任何修改，MD5值都将改变，通过此方法可以确定文件是否被篡改过。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7cadc996",
   "metadata": {},
   "source": [
    "### 1.1.11 练习\n",
    "\n",
    "1）、编写一个程序，遍历一个目录树，查找特定扩展名的文件（诸如.pdf 或.jpg）。不论这些文件的位置在哪里， 将它们拷贝到一个新的文件夹中。\n",
    "\n",
    "2） 、一些不需要的、 巨大的文件或文件夹占据了硬盘的空间， 这并不少见。如果你试图释放计算机上的空间， 那么删除不想要的巨大文件效果最好。但首先你必须找到它们。编写一个程序， 遍历一个目录树， 查找特别大的文件或文件夹， 比方说， 超过100MB 的文件（回忆一下，要获得文件的大小，可以使用 os 模块的 os.path.getsize()）。将这些文件的绝对路径打印到屏幕上。\n",
    "\n",
    "3）、编写一个程序， 在一个文件夹中， 找到所有带指定前缀的文件， 诸如 spam001.txt,spam002.txt 等，并定位缺失的编号（例如存在 spam001.txt 和 spam003.txt， 但不存在 spam002.txt）。让该程序对所有后面的文件改名， 消除缺失的编号。作为附加的挑战，编写另一个程序，在一些连续编号的文件中，空出一些编号，以便加入新的文件。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "857b5436",
   "metadata": {},
   "source": [
    "# 1.3 自动发送电子邮件\n",
    "\n",
    "使用Python实现自动化邮件发送，可以让你摆脱繁琐的重复性业务，节省非常多的时间。\n",
    "\n",
    "Python有两个内置库：smtplib和email，能够实现邮件功能，smtplib库负责发送邮件，email库负责构造邮件格式和内容。\n",
    "\n",
    "邮件发送需要遵守SMTP协议，Python内置对SMTP的支持，可以发送纯文本邮件、HTML邮件以及带附件的邮件。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "8d9ffa44",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:32:07.439570Z",
     "start_time": "2022-05-09T12:32:06.490724Z"
    }
   },
   "outputs": [],
   "source": [
    "#1 先导入相关的库和方法\n",
    "import smtplib  #导入库\n",
    "from smtplib import SMTP_SSL  #加密邮件内容，防止中途被截获\n",
    "from email.mime.text import  MIMEText   #构造邮件的正文\n",
    "from email.mime.image import MIMEImage  #构造邮件的图片\n",
    "from email.mime.multipart import MIMEMultipart   #把邮件的各个部分装在一起，邮件的主体\n",
    "from email.header import Header   #邮件的文件头，标题，收件人"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "5d8656aa",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:34:29.874713Z",
     "start_time": "2022-05-09T12:34:29.863780Z"
    }
   },
   "outputs": [],
   "source": [
    "#2 设置邮箱域名、发件人邮箱、邮箱授权码、收件人邮箱\n",
    "host_server = 'smtp.163.com' #sina 邮箱smtp服务器                 #smtp 服务器的地址\n",
    "sender_163 = 'pythonauto_emai@163.com'                   #sender_163为发件人的邮箱\n",
    "pwd = 'DYEPOGLZDZYLOMRI'                    #pwd为邮箱的授权码'DYEPOGLZDZYLOMRI'\n",
    "#也可以自己注册个邮箱，邮箱授权码'DYEPOGLZDZYLOMRI' 获取方式可参考#http://help.163.com/14/0923/22/A6S1FMJD00754KNP.html\n",
    "\n",
    "# 设置接受邮箱，换成自己的邮箱即可\n",
    "receiver = '1121091694@qq.com'      "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "e83f69a6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:32:25.967016Z",
     "start_time": "2022-05-09T12:32:25.950059Z"
    }
   },
   "outputs": [],
   "source": [
    "#3 构建MIMEMultipart对象代表邮件本身，可以往里面添加文本、图片、附件等\n",
    "msg = MIMEMultipart()    #邮件主体"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "a37bec72",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:32:33.357809Z",
     "start_time": "2022-05-09T12:32:33.338896Z"
    }
   },
   "outputs": [],
   "source": [
    "#4 设置邮件头部内容\n",
    "mail_title = 'python办公自动化邮件'   # 邮件标题\n",
    "msg[\"Subject\"] = Header(mail_title,'utf-8')  #装入主体\n",
    "msg[\"From\"] = sender_163           #寄件人\n",
    "msg[\"To\"] = Header(\"测试邮箱\",'utf-8') #标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "82b3f896",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:32:37.521243Z",
     "start_time": "2022-05-09T12:32:37.510274Z"
    }
   },
   "outputs": [],
   "source": [
    "#5 添加正文文本\n",
    "mail_content = \"您好，这是使用python登录163邮箱发送邮件的测试\"   #邮件的正文内容\n",
    "message_text = MIMEText(mail_content,'plain','utf-8')   #构造文本,参数1：正文内容，参数2：文本格式，参数3：编码方式\n",
    "msg.attach(message_text)    # 向MIMEMultipart对象中添加文本对象"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "6eee7ced",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:33:10.438584Z",
     "start_time": "2022-05-09T12:33:10.424621Z"
    }
   },
   "outputs": [],
   "source": [
    "#6 添加图片\n",
    "image_data = open('D:\\\\animals\\\\cats\\\\zophie.jpg','rb')   # 二进制读取图片\n",
    "message_image = MIMEImage(image_data.read())  # 设置读取获取的二进制数据\n",
    "image_data.close()       # 关闭刚才打开的文件\n",
    "msg.attach(message_image)  # 添加图片文件到邮件信息当中去"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "0be372e3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:33:58.950769Z",
     "start_time": "2022-05-09T12:33:58.941793Z"
    }
   },
   "outputs": [],
   "source": [
    "# 7 添加附件(excel表格)\n",
    "atta = MIMEText(open('D:\\\\animals\\\\cats\\\\cat.xlsx', 'rb').read(), 'base64', 'utf-8')   # 构造附件\n",
    "atta[\"Content-Disposition\"] = 'attachment; filename=\"cat.xlsx\"'  # 设置附件信息\n",
    "msg.attach(atta)       ## 添加附件到邮件信息当中去"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "3b376539",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-05-09T12:34:37.999923Z",
     "start_time": "2022-05-09T12:34:35.639917Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "邮件发送成功\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<bound method SMTP.quit of <smtplib.SMTP_SSL object at 0x000001975471B880>>"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#8 发送邮件\n",
    "smtp = SMTP_SSL(host_server)       #SSL登录  创建SMTP对象\n",
    "smtp.login(sender_163,pwd)         ## 登录邮箱，传递参数1：邮箱地址，参数2：邮箱授权码\n",
    "smtp.sendmail(sender_163,receiver,msg.as_string()) # 发送邮件，传递参数1：发件人邮箱地址，参数2：收件人邮箱地址，参数3：把邮件内容格式改为str\n",
    "print(\"邮件发送成功\")\n",
    "smtp.quit         # 关闭SMTP对象"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41181554",
   "metadata": {},
   "source": [
    "参考！！！：\n",
    "\n",
    "https://github.com/datawhalechina/team-learning-program/blob/master/OfficeAutomation/Task01%20%E6%96%87%E4%BB%B6%E8%87%AA%E5%8A%A8%E5%8C%96%E4%B8%8E%E9%82%AE%E4%BB%B6%E5%A4%84%E7%90%86.md\n",
    "\n",
    "和\n",
    "\n",
    "《学Python，不加班——轻松实现办公自动化》-何华平 一书的第三章高效办公文件管理\n"
   ]
  }
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